Nowadays’ computers only capture in a rough way some aspects of that notion
– typically, the “non-logical”, analogical, associative, and contextual. But ordinary computing
machines sometimes don’t do well also when they play at home, in the fields of logic and
mathematics (think about factoring large integers and non-polynomial problems).
To address the two problems, the iLabs research laboratory focuses, respectively, on two
basic ideas: (1) a theoretical isomorphism between physical and informational reality; and
(2) an extensive formal development of the notion of model of reference
(MoR). Such a
formal development is the mathematics of the models of reference
As for (1): at iLabs, we believe information to be rooted in physical reality from its very
bottom. We believe that what goes on in the world can be tersely, but correctly, described
by claiming: what the universe does at any instant of time is a computation its overall state
at the following instant. Therefore, Artificial Intelligence is not that artificial: the good
information processing devices are out there! And this is so, because universal computation
is embedded in the ultimate essence of reality.
As for (2): formally, a model of reference (MoR) is an ordered triple <perception, thought,
action>. Using a standard operational notion, f: A -> B is a MoR defined on a set A of
perceptions, whose proper thought consists in effectively mapping them to actions or
outputs in a set B. Thus, we can write:
, …, xn
) = y
, … , xn
∈ A, and y
∈ B. At the bottom of reality, a MoR works as a simple change in
the informational patterns of the smallest physical items constituting our world (more on
this soon). At the human level, it is what explains our behaviour in terms of how we perceive
and elaborate information. Generalizing: models of reference (MsoR) are fractal items
displaying isomorphic structure at any level of reality. Thus, they are our most promising
candidate to the theoretical role of functional interface between matter and computation.
You can read this page because the relevant MsoR are activated in your eye, in order for it
to process visual stimuli and send certain signals to the area of your brain taking care of
vision. A frog can grab a fly by activating several hundreds of MsoR. Dually, we are phobic,
or sick, or develop cancer, because our mind, our body, our cells, activate the “wrong”
MsoR. Arithmetic operations, business software, or the proof of a theorem in universal
algebra, are MsoR as well. What follows is an overview of the results spelled out with the
due formal details in the iLabs book, where the theoretical options to be
exposed are also philosophically defended.
book clearly illustrates the formal results obtained within
the framework, clarifies and defends our assumptions and open new perspective for the multidisciplinary modelling
of the physical and informational universe.
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